Projects per year
Personal profile
Education
- 2015 PhD, Graduate Institute of Networking and Multimedia, National Taiwan University
Research Interests
- Big Data Mining and Analytics
- Machine Learning
- Sensor Network Computing
- Smart City and Internet of Things Applications
- Social Network Analysis
- Spatial-Temporal Information Computing
- Urban Science and Computing
Experience
- 2013/1~2013/9 Research Intern, Microsoft Research Asia, Beijing, China
- 2015/7~2015/8 Visiting Scholar, Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology (KAIST), Korea
- 2015/8~2016/7 Mandatory Military Service, Air Force Institute of Technology
- 2016/8~present Assistant Professor, Department of Electrical Engineering, National Cheng Kung University
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Fingerprint
Dive into the research topics where Hsun-Ping Hsieh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 5 Finished
-
FOG: Interpretable Feature-Oriented Graph Neural Networks for Tabular Data Prediction
Tsou, T. Y., Li, P. X., Lin, F. & Hsieh, H. P., 2025, Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings. Wu, X., Spiliopoulou, M., Wang, C., Kumar, V., Cao, L., Zhou, X., Pang, G. & Gama, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 29-40 12 p. (Lecture Notes in Computer Science; vol. 15876 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor
Li, P. X. & Hsieh, H. P., 2025 Apr 15, In: ACM Transactions on Intelligent Systems and Technology. 16, 3, 54.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Session-Based Recommendation with Multi-granularity User Intent and Dual-Channel Sparse Graph Attention Networks
Li, P. X., Lin, C. L. & Hsieh, H. P., 2025, Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Proceedings. Wu, X., Spiliopoulou, M., Wang, C., Kumar, V., Cao, L., Wu, Y., Yao, Y. & Wu, Z. (eds.). Springer Science and Business Media Deutschland GmbH, p. 265-277 13 p. (Lecture Notes in Computer Science; vol. 15872 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Spatial Modeling with Automated Machine Learning and Gaussian Process Regression Techniques for Imputing Wafer Acceptance Test Data
Wei, M. C., Shen, C. W. & Hsieh, H. P., 2025, 2025 Design, Automation and Test in Europe Conference, DATE 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings -Design, Automation and Test in Europe, DATE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
STGym: a Modular Benchmark for Spatio-Temporal Networks with a Survey and Case Study on Traffic Forecasting
Shen, C. W., Jiang, J. W. & Hsieh, H. P., 2025, (Accepted/In press) In: IEEE Transactions on Big Data.Research output: Contribution to journal › Article › peer-review